Oxfold: kinetic folding of RNA using stochastic context-free grammars and evolutionary information.

MOTIVATION:Many computational methods for RNA secondary structure prediction, and, in particular, for the prediction of a consensus structure of an alignment of RNA sequences, have been developed. Most methods, however, ignore biophysical factors, such as the kinetics of RNA folding; no current impl...

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Main Authors: Anderson, JWJ, Haas, PA, Mathieson, L-A, Volynkin, V, Lyngsø, R, Tataru, P, Hein, J
Format: Journal article
Language:English
Published: Oxford University Press (OUP) 2013
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author Anderson, JWJ
Haas, PA
Mathieson, L-A
Volynkin, V
Lyngsø, R
Tataru, P
Hein, J
author_facet Anderson, JWJ
Haas, PA
Mathieson, L-A
Volynkin, V
Lyngsø, R
Tataru, P
Hein, J
author_sort Anderson, JWJ
collection OXFORD
description MOTIVATION:Many computational methods for RNA secondary structure prediction, and, in particular, for the prediction of a consensus structure of an alignment of RNA sequences, have been developed. Most methods, however, ignore biophysical factors, such as the kinetics of RNA folding; no current implementation considers both evolutionary information and folding kinetics, thus losing information that, when considered, might lead to better predictions. RESULTS:We present an iterative algorithm, Oxfold, in the framework of stochastic context-free grammars, that emulates the kinetics of RNA folding in a simplified way, in combination with a molecular evolution model. This method improves considerably on existing grammatical models that do not consider folding kinetics. Additionally, the model compares favourably to non-kinetic thermodynamic models.
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spelling oxford-uuid:17c7f78a-bcd1-4eaf-b485-ff2bf8a2b32b2022-03-26T10:39:27ZOxfold: kinetic folding of RNA using stochastic context-free grammars and evolutionary information.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:17c7f78a-bcd1-4eaf-b485-ff2bf8a2b32bEnglishSymplectic ElementsOxford University Press (OUP)2013Anderson, JWJHaas, PAMathieson, L-AVolynkin, VLyngsø, RTataru, PHein, JMOTIVATION:Many computational methods for RNA secondary structure prediction, and, in particular, for the prediction of a consensus structure of an alignment of RNA sequences, have been developed. Most methods, however, ignore biophysical factors, such as the kinetics of RNA folding; no current implementation considers both evolutionary information and folding kinetics, thus losing information that, when considered, might lead to better predictions. RESULTS:We present an iterative algorithm, Oxfold, in the framework of stochastic context-free grammars, that emulates the kinetics of RNA folding in a simplified way, in combination with a molecular evolution model. This method improves considerably on existing grammatical models that do not consider folding kinetics. Additionally, the model compares favourably to non-kinetic thermodynamic models.
spellingShingle Anderson, JWJ
Haas, PA
Mathieson, L-A
Volynkin, V
Lyngsø, R
Tataru, P
Hein, J
Oxfold: kinetic folding of RNA using stochastic context-free grammars and evolutionary information.
title Oxfold: kinetic folding of RNA using stochastic context-free grammars and evolutionary information.
title_full Oxfold: kinetic folding of RNA using stochastic context-free grammars and evolutionary information.
title_fullStr Oxfold: kinetic folding of RNA using stochastic context-free grammars and evolutionary information.
title_full_unstemmed Oxfold: kinetic folding of RNA using stochastic context-free grammars and evolutionary information.
title_short Oxfold: kinetic folding of RNA using stochastic context-free grammars and evolutionary information.
title_sort oxfold kinetic folding of rna using stochastic context free grammars and evolutionary information
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